IDEAS home Printed from https://ideas.repec.org/e/pti112.html
   My authors  Follow this author

Yves Tillé

Personal Details

First Name:Yves
Middle Name:
Last Name:Tillé
Suffix:
RePEc Short-ID:pti112
[This author has chosen not to make the email address public]

Affiliation

Université de Neuchâtel (University of Neuchatel)

http://www2.unine.ch/
Neuchatel

Research output

as
Jump to: Articles

Articles

  1. Hasler, Caren & Tillé, Yves, 2014. "Fast balanced sampling for highly stratified population," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 81-94.
  2. Erika Antal & Yves Tillé, 2014. "A new resampling method for sampling designs without replacement: the doubled half bootstrap," Computational Statistics, Springer, vol. 29(5), pages 1345-1363, October.
  3. Matti Langel & Yves Tillé, 2013. "Variance estimation of the Gini index: revisiting a result several times published," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 521-540, February.
  4. Anton Grafström & Yves Tillé, 2013. "Doubly balanced spatial sampling with spreading and restitution of auxiliary totals," Environmetrics, John Wiley & Sons, Ltd., vol. 24(2), pages 120-131, March.
  5. Matti Langel & Yves Tillé, 2012. "Inference by linearization for Zenga’s new inequality index: a comparison with the Gini index," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(8), pages 1093-1110, November.
  6. Yves Tillé & Matti Langel, 2012. "Histogram-Based Interpolation of the Lorenz Curve and Gini Index for Grouped Data," The American Statistician, Taylor & Francis Journals, vol. 66(4), pages 225-231, November.
  7. Antal, Erika & Tillé, Yves, 2011. "A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 534-543.
  8. Matti Langel & Yves Tillé, 2011. "Corrado Gini, a pioneer in balanced sampling and inequality theory," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 45-65.
  9. Desislava Nedyalkova & Lionel Qualité & Yves Tillé, 2009. "General framework for the rotation of units in repeated survey sampling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 269-293.
  10. Desislava Nedyalkova & Yves Tillé, 2008. "Optimal sampling and estimation strategies under the linear model," Biometrika, Biometrika Trust, vol. 95(3), pages 521-537.
  11. Desislava Nedyalkova & Johan Pea & Yves Tillé, 2008. "Sampling Procedures for Coordinating Stratified Samples: Methods Based on Microstrata," International Statistical Review, International Statistical Institute, vol. 76(3), pages 368-386, December.
  12. Matei, Alina & Tille, Yves, 2007. "Computational aspects of order [pi]ps sampling schemes," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3703-3717, May.
  13. Pea, Johan & Qualite, Lionel & Tille, Yves, 2007. "Systematic sampling is a minimum support design," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5591-5602, August.
  14. Guillaume Chauvet & Yves Tillé, 2006. "A fast algorithm for balanced sampling," Computational Statistics, Springer, vol. 21(1), pages 53-62, March.
  15. Tillé, Yves & Favre, Anne-Catherine, 2005. "Optimal allocation in balanced sampling," Statistics & Probability Letters, Elsevier, vol. 74(1), pages 31-37, August.
  16. Favre, Anne-Catherine & Matei, Alina & Tille, Yves, 2004. "A variant of the Cox algorithm for the imputation of non-response of qualitative data," Computational Statistics & Data Analysis, Elsevier, vol. 45(4), pages 709-719, May.
  17. Yves Tille & Anne-Catherine Favre, 2004. "Coordination, combination and extension of balanced samples," Biometrika, Biometrika Trust, vol. 91(4), pages 913-927, December.
  18. Jean-Claude Deville & Yves Tille, 2004. "Efficient balanced sampling: The cube method," Biometrika, Biometrika Trust, vol. 91(4), pages 893-912, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Matti Langel & Yves Tillé, 2013. "Variance estimation of the Gini index: revisiting a result several times published," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 521-540, February.

    Cited by:

    1. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.
    2. Lingsheng Meng & Binzhen Wu & Zhaoguo Zhan, 2016. "Linear regression with an estimated regressor: applications to aggregate indicators of economic development," Empirical Economics, Springer, vol. 50(2), pages 299-316, March.
    3. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2015. "Gini index estimation in randomized response surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 45-62, January.
    4. Judith A. Clarke & Ahmed A. Hoque, 2014. "On Variance Estimation for a Gini Coefficient Estimator Obtained from Complex Survey Data," Econometrics Working Papers 1401, Department of Economics, University of Victoria.
    5. Bhargab Chattopadhyay & Shyamal Krishna De, 2016. "Estimation of Gini Index within Pre-Specified Error Bound," Econometrics, MDPI, Open Access Journal, vol. 4(3), pages 1-12, June.
    6. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    7. Alina Jędrzejczak & Jan Kubacki, 2013. "Estimation of Income Inequality and the Poverty Rate in Poland, by Region and Family Type," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(3), pages 359-378, September.
    8. Jordi Arcarons & Samuel Calonge, 2015. "Inference tests for tax progressivity and income redistribution: the Suits approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 207-223, June.
    9. Fabrizi, Enrico & Trivisano, Carlo, 2016. "Small area estimation of the Gini concentration coefficient," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 223-234.
    10. Tomson Ogwang, 2016. "A new interpretation of the Gini correlation," METRON, Springer;Sapienza Università di Roma, vol. 74(1), pages 11-20, April.
    11. Shlomo Yitzhaki, 2015. "Gini’s mean difference offers a response to Leamer’s critique," METRON, Springer;Sapienza Università di Roma, vol. 73(1), pages 31-43, April.
    12. Christian Dudel & Jan Marvin Garbuszus & Notburga Ott & Martin Werding, 2015. "Income Dependent Equivalence Scales, Inequality, and Poverty," CESifo Working Paper Series 5568, CESifo Group Munich.

  2. Anton Grafström & Yves Tillé, 2013. "Doubly balanced spatial sampling with spreading and restitution of auxiliary totals," Environmetrics, John Wiley & Sons, Ltd., vol. 24(2), pages 120-131, March.

    Cited by:

    1. Maria Michela Dickson & Yves Tille', 2015. "Ordered Spatial Sampling by Means of the Traveling Salesman Problem," DEM Discussion Papers 2015/06, Department of Economics and Management.

  3. Matti Langel & Yves Tillé, 2012. "Inference by linearization for Zenga’s new inequality index: a comparison with the Gini index," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(8), pages 1093-1110, November.

    Cited by:

    1. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2015. "Gini index estimation in randomized response surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 45-62, January.
    2. Greselin Francesca, 2014. "More Equal and Poorer, or Richer but More Unequal?," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 99-117, December.
    3. Francesca Greselin & Simone Pellegrino & Achille Vernizzi, 2017. "Lorenz versus Zenga Inequality Curves: a New Approach to Measuring Tax Redistribution and Progressivity," Working papers 046, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    4. Michele Zenga, 2016. "On the decomposition by subpopulations of the point and synthetic Zenga (2007) inequality indexes," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 375-405, December.

  4. Yves Tillé & Matti Langel, 2012. "Histogram-Based Interpolation of the Lorenz Curve and Gini Index for Grouped Data," The American Statistician, Taylor & Francis Journals, vol. 66(4), pages 225-231, November.

    Cited by:

    1. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.
    2. Wang, Lijian & Béland, Daniel & Zhang, Sifeng, 2014. "Pension fairness in China," China Economic Review, Elsevier, vol. 28(C), pages 25-36.

  5. Antal, Erika & Tillé, Yves, 2011. "A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 534-543.

    Cited by:

    1. Michał Brzeziński, 2013. "Variance estimation for richness measures," Working Papers 2013-03, Faculty of Economic Sciences, University of Warsaw.

  6. Matti Langel & Yves Tillé, 2011. "Corrado Gini, a pioneer in balanced sampling and inequality theory," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 45-65.

    Cited by:

    1. Arkadiusz Kozłowski, 2014. "The Use of Non- Sample Information in Exit Poll Surveys in Poland," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(1), pages 37-58, January.

  7. Desislava Nedyalkova & Lionel Qualité & Yves Tillé, 2009. "General framework for the rotation of units in repeated survey sampling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 269-293.

    Cited by:

    1. Chauvet, Guillaume & Ruiz-Gazen, Anne, 2017. "A comparison of pivotal sampling and unequal probability sampling with replacement," Statistics & Probability Letters, Elsevier, vol. 121(C), pages 1-5.

  8. Desislava Nedyalkova & Yves Tillé, 2008. "Optimal sampling and estimation strategies under the linear model," Biometrika, Biometrika Trust, vol. 95(3), pages 521-537.

    Cited by:

    1. Alfio Marazzi & Yves Tillé, 2017. "Using past experience to optimize audit sampling design," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 435-462, August.
    2. Hasler, Caren & Tillé, Yves, 2014. "Fast balanced sampling for highly stratified population," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 81-94.
    3. Vilma Nekrašaitė-Liegė, 2011. "Some applications of panel data models in small area estimation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 12(2), pages 265-280, October.

  9. Matei, Alina & Tille, Yves, 2007. "Computational aspects of order [pi]ps sampling schemes," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3703-3717, May.

    Cited by:

    1. Carrizosa, Emilio, 2010. "Unequal probability sampling from a finite population: A multicriteria approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 500-504, March.

  10. Guillaume Chauvet & Yves Tillé, 2006. "A fast algorithm for balanced sampling," Computational Statistics, Springer, vol. 21(1), pages 53-62, March.

    Cited by:

    1. Maria Michela Dickson & Yves Tillé, 2016. "Ordered spatial sampling by means of the traveling salesman problem," Computational Statistics, Springer, vol. 31(4), pages 1359-1372, December.
    2. Maria Michela Dickson & Yves Tille', 2015. "Ordered Spatial Sampling by Means of the Traveling Salesman Problem," DEM Discussion Papers 2015/06, Department of Economics and Management.
    3. Hasler, Caren & Tillé, Yves, 2014. "Fast balanced sampling for highly stratified population," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 81-94.
    4. Kaeding, Matthias, 2016. "Fast, approximate MCMC for Bayesian analysis of large data sets: A design based approach," Ruhr Economic Papers 660, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  11. Tillé, Yves & Favre, Anne-Catherine, 2005. "Optimal allocation in balanced sampling," Statistics & Probability Letters, Elsevier, vol. 74(1), pages 31-37, August.

    Cited by:

    1. Hasler, Caren & Tillé, Yves, 2014. "Fast balanced sampling for highly stratified population," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 81-94.

  12. Jean-Claude Deville & Yves Tille, 2004. "Efficient balanced sampling: The cube method," Biometrika, Biometrika Trust, vol. 91(4), pages 893-912, December.

    Cited by:

    1. Maria Michela Dickson & Yves Tillé, 2016. "Ordered spatial sampling by means of the traveling salesman problem," Computational Statistics, Springer, vol. 31(4), pages 1359-1372, December.
    2. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.
    3. Arkadiusz Kozłowski, 2014. "The Use of Non- Sample Information in Exit Poll Surveys in Poland," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(1), pages 37-58, January.
    4. Maria Michela Dickson & Yves Tille', 2015. "Ordered Spatial Sampling by Means of the Traveling Salesman Problem," DEM Discussion Papers 2015/06, Department of Economics and Management.
    5. Carl-Erik Särndal, 2010. "Models in Survey Sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 11(3), pages 539-554, December.
    6. Alfio Marazzi & Yves Tillé, 2017. "Using past experience to optimize audit sampling design," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 435-462, August.
    7. Maria Michela Dickson & Giuseppe Espa & Diego Giuliani, 2016. "Incomplete geocoding and spatial sampling: the effects of locational errors on population total estimation," DEM Working Papers 2016/04, Department of Economics and Management.
    8. Hasler, Caren & Tillé, Yves, 2014. "Fast balanced sampling for highly stratified population," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 81-94.
    9. Tillé, Yves & Favre, Anne-Catherine, 2005. "Optimal allocation in balanced sampling," Statistics & Probability Letters, Elsevier, vol. 74(1), pages 31-37, August.
    10. Kaeding, Matthias, 2016. "Fast, approximate MCMC for Bayesian analysis of large data sets: A design based approach," Ruhr Economic Papers 660, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. R. Benedetti & F. Piersimoni & P. Postiglione, 2017. "Alternative and complementary approaches to spatially balanced samples," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 249-264, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Yves Tillé should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.